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DNA Evidence and Jury Comprehension

2005· article· en· W2055422417 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Society of Forensic Science Journal · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsMount Royal University
Fundersnot available
KeywordsJuryDeliberationPsychologyJury selectionJury instructionsComprehensionCriminal justiceJury trialLawSocial psychologyPolitical scienceCriminology

Abstract

fetched live from OpenAlex

The purpose of this research project was to develop insight into the factors that influence judge and jury interpretations, perceptions and understanding of DNA evidence within the criminal justice system. The research question was addressed using a triangulated data collection methodology involving the following six-step process: three focus groups consisting of mock jurors, defence and prosecution lawyers; semi-structured interviews with Court of Queen's Bench justices; the distribution of 500 surveys to jury eligible community members; a scripted mock murder trial; a videotaped mock jury deliberation on the mock murder case; and an interview with the mock jurors after deliberations. The findings of this research outlines some of the changes lawyers, judges, and members of the general public feel are essential to their process of interpreting, perceiving and understanding DNA evidence. Some of these changes include encouraging jurors to take notes, giving jurors suggestions for conducting deliberations, providing juror notebooks, permitting jurors discussions during the trial, providing jurors with written instructions, and introducing a learning-style survey.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.347
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it